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Detection of errors in the inference engine of a clinical decision support system

A clinical decision support, clinical decision-making technology, applied in the field of semi-automatic verification of successive versions of clinical decision support systems, to solve problems such as difficulty in identifying medically relevant results

Active Publication Date: 2014-06-11
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, depending on the nature of the coding error, it may be difficult or impossible for the software debugging process to detect miscoded rules
Computer programmers are generally not medical experts and may have difficulty identifying erroneous medically relevant results produced by incorrect coding

Method used

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  • Detection of errors in the inference engine of a clinical decision support system
  • Detection of errors in the inference engine of a clinical decision support system

Examples

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Embodiment Construction

[0022] refer to figure 1 , the electronic clinical decision support system 10 , 12 includes a main computing part 10 and an upgrading part 12 . The operation part 10 operates continuously every day to provide clinical decision support. The upgrade section 12 is used occasionally, e.g. every six months, every year, every two years, etc., to keep the arithmetic section 10 abreast of developments in the relevant diagnostic and therapeutic fields, and to correct errors detected based on the analysis of outliers detected by the arithmetic section 10. error. The computing portion 10 of the electronic CDSS 10, 12 is substantially automatic, but also incorporates some manual interaction, such as manual entry of patient data, manual interaction with decision support processes (e.g., choosing from among a limited set of options presented by the CDSS manual selection), etc. Such manual interaction may also include the treating physician electing not to follow some or all of the recomm...

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Abstract

An electronic clinical decision support system (CDSS) (10, 12) comprises: an inference engine (20, 22) configured to generate clinical decision recommendations for a patient based on information pertaining to the patient, the inference engine comprising rules (16) developed by a plurality of medical experts (14) and codified into software; an electronic outliers detector (52) configured to detect outlier cases that are probative of a potential flaw in the inference engine; an outliers database (60) configured to collect information pertaining to the outlier cases detected by the electronic outliers detector; and an outliers report generator (62) configured to generate a report (64) on the outlier cases detected by the electronic outliers detector, the generated report containing at least some information collected in the outliers database.

Description

field of invention [0001] The following relates to medical technology, diagnostic technology, software technology, etc. Background technique [0002] Physicians are called upon to make clinical decisions on a daily basis. These decisions require gathering information about the patient, making diagnostic decisions, and making patient-specific treatment decisions. Physicians have years of training to become proficient in making such clinical decisions and rely heavily on previous experience, education, and gathered knowledge. When a physician is uncertain about a clinical decision, he or she may consult professional colleagues, medical papers, published medical research, and so on. However, even with all these resources, the complexity of some clinical decisions, and the hectic nature of hospitals and some other medical environments make clinical decisions difficult to make. This is problematic because wrong clinical decisions can lead to adverse patient outcomes such as pr...

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Application Information

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IPC IPC(8): G06F19/00G06Q50/24G16H10/60
CPCG06F19/345G06Q50/24G16H50/20
Inventor J·D·谢弗
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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